Dataset statistics
| Number of variables | 26 |
|---|---|
| Number of observations | 57088 |
| Missing cells | 85675 |
| Missing cells (%) | 5.8% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 11.3 MiB |
| Average record size in memory | 208.0 B |
Variable types
| Categorical | 13 |
|---|---|
| Numeric | 12 |
| Unsupported | 1 |
targetRelease has constant value "AIR" | Constant |
CONTINENT has constant value "EUROPE" | Constant |
EPRTRAnnexIMainActivityLabel has a high cardinality: 70 distinct values | High cardinality |
FacilityInspireID has a high cardinality: 7184 distinct values | High cardinality |
facilityName has a high cardinality: 7929 distinct values | High cardinality |
City has a high cardinality: 5135 distinct values | High cardinality |
REPORTER NAME has a high cardinality: 45014 distinct values | High cardinality |
CITY ID has a high cardinality: 5135 distinct values | High cardinality |
EPRTRAnnexIMainActivityCode has a high cardinality: 70 distinct values | High cardinality |
max_wind_speed is highly correlated with avg_wind_speed and 1 other fields | High correlation |
avg_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
min_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
max_temp is highly correlated with avg_temp and 1 other fields | High correlation |
avg_temp is highly correlated with max_temp and 1 other fields | High correlation |
min_temp is highly correlated with max_temp and 1 other fields | High correlation |
max_wind_speed is highly correlated with avg_wind_speed and 1 other fields | High correlation |
avg_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
min_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
max_temp is highly correlated with avg_temp and 1 other fields | High correlation |
avg_temp is highly correlated with max_temp and 1 other fields | High correlation |
min_temp is highly correlated with max_temp and 1 other fields | High correlation |
max_wind_speed is highly correlated with avg_wind_speed | High correlation |
avg_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
min_wind_speed is highly correlated with avg_wind_speed | High correlation |
max_temp is highly correlated with avg_temp and 1 other fields | High correlation |
avg_temp is highly correlated with max_temp and 1 other fields | High correlation |
min_temp is highly correlated with max_temp and 1 other fields | High correlation |
EPRTRAnnexIMainActivityLabel is highly correlated with CONTINENT and 5 other fields | High correlation |
CONTINENT is highly correlated with EPRTRAnnexIMainActivityLabel and 6 other fields | High correlation |
pollutant_code is highly correlated with EPRTRAnnexIMainActivityLabel and 4 other fields | High correlation |
eprtrSectorName is highly correlated with EPRTRAnnexIMainActivityLabel and 3 other fields | High correlation |
targetRelease is highly correlated with EPRTRAnnexIMainActivityLabel and 6 other fields | High correlation |
countryName is highly correlated with CONTINENT and 1 other fields | High correlation |
EPRTRAnnexIMainActivityCode is highly correlated with EPRTRAnnexIMainActivityLabel and 5 other fields | High correlation |
pollutant is highly correlated with EPRTRAnnexIMainActivityLabel and 4 other fields | High correlation |
countryName is highly correlated with EPRTRAnnexIMainActivityLabel and 3 other fields | High correlation |
eprtrSectorName is highly correlated with EPRTRAnnexIMainActivityLabel and 4 other fields | High correlation |
EPRTRAnnexIMainActivityLabel is highly correlated with countryName and 6 other fields | High correlation |
pollutant is highly correlated with eprtrSectorName and 4 other fields | High correlation |
MONTH is highly correlated with max_temp and 2 other fields | High correlation |
max_wind_speed is highly correlated with avg_wind_speed and 1 other fields | High correlation |
avg_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
min_wind_speed is highly correlated with max_wind_speed and 1 other fields | High correlation |
max_temp is highly correlated with MONTH and 2 other fields | High correlation |
avg_temp is highly correlated with MONTH and 2 other fields | High correlation |
min_temp is highly correlated with MONTH and 2 other fields | High correlation |
DAY WITH FOGS is highly correlated with countryName and 1 other fields | High correlation |
EPRTRSectorCode is highly correlated with eprtrSectorName and 4 other fields | High correlation |
EPRTRAnnexIMainActivityCode is highly correlated with countryName and 6 other fields | High correlation |
Unnamed: 23 is highly correlated with countryName and 3 other fields | High correlation |
pollutant_code is highly correlated with eprtrSectorName and 4 other fields | High correlation |
Unnamed: 23 has 28587 (50.1%) missing values | Missing |
Unnamed: 0 has 57088 (100.0%) missing values | Missing |
REPORTER NAME is uniformly distributed | Uniform |
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
DAY WITH FOGS has 16355 (28.6%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-21 16:48:54.619528 |
|---|---|
| Analysis finished | 2022-05-21 16:49:35.273197 |
| Duration | 40.65 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 32 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| United Kingdom | |
|---|---|
| Germany | |
| France | |
| Spain | |
| Italy | |
| Other values (27) |
Length
| Max length | 14 |
|---|---|
| Median length | 7 |
| Mean length | 7.584606222 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Germany |
|---|---|
| 2nd row | France |
| 3rd row | Lithuania |
| 4th row | Italy |
| 5th row | Romania |
Common Values
| Value | Count | Frequency (%) |
| United Kingdom | 7862 | |
| Germany | 7602 | |
| France | 6372 | |
| Spain | 6146 | |
| Italy | 5480 | |
| Poland | 3683 | 6.5% |
| Netherlands | 2020 | 3.5% |
| Finland | 1958 | 3.4% |
| Sweden | 1843 | 3.2% |
| Romania | 1627 | 2.8% |
| Other values (22) | 12495 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| united | 7862 | |
| kingdom | 7862 | |
| germany | 7602 | |
| france | 6372 | |
| spain | 6146 | |
| italy | 5480 | 8.4% |
| poland | 3683 | 5.7% |
| netherlands | 2020 | 3.1% |
| finland | 1958 | 3.0% |
| sweden | 1843 | 2.8% |
| Other values (23) | 14122 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| Energy sector | |
|---|---|
| Waste and wastewater management | |
| Mineral industry | |
| Chemical industry | |
| Paper and wood production and processing | |
| Other values (4) |
Length
| Max length | 63 |
|---|---|
| Median length | 16 |
| Mean length | 22.76585272 |
| Min length | 13 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Mineral industry |
|---|---|
| 2nd row | Mineral industry |
| 3rd row | Mineral industry |
| 4th row | Mineral industry |
| 5th row | Mineral industry |
Common Values
| Value | Count | Frequency (%) |
| Energy sector | 21386 | |
| Waste and wastewater management | 13813 | |
| Mineral industry | 8922 | |
| Chemical industry | 3744 | 6.6% |
| Paper and wood production and processing | 3299 | 5.8% |
| Production and processing of metals | 2748 | 4.8% |
| Intensive livestock production and aquaculture | 1848 | 3.2% |
| Animal and vegetable products from the food and beverage sector | 1120 | 2.0% |
| Other activities | 208 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| and | 27247 | |
| sector | 22506 | |
| energy | 21386 | |
| waste | 13813 | |
| wastewater | 13813 | |
| management | 13813 | |
| industry | 12666 | |
| mineral | 8922 | 5.0% |
| production | 7895 | 4.4% |
| processing | 6047 | 3.4% |
| Other values (17) | 29638 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 70 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| Thermal power stations and other combustion installations | |
|---|---|
| Landfills (excluding landfills of inert waste and landfills, which were definitely closed before 16.7.2001 or for which the after-care phase required by the competent authorities according to Article 13 of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste has expired) | |
| Installations for the incineration of non-hazardous waste in the scope of Directive 2000/76/EC of the European Parliament and of the Council of 4 December 2000 on the incineration of waste | |
| Installations for the production of cement clinker in rotary kilns | |
| Installations for the manufacture of glass, including glass fibre | |
| Other values (65) |
Length
| Max length | 289 |
|---|---|
| Median length | 66 |
| Mean length | 126.1144549 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Installations for the production of cement clinker in rotary kilns |
|---|---|
| 2nd row | Installations for the production of cement clinker in rotary kilns |
| 3rd row | Installations for the production of cement clinker in rotary kilns |
| 4th row | Installations for the production of cement clinker in rotary kilns |
| 5th row | Installations for the production of cement clinker in rotary kilns |
Common Values
| Value | Count | Frequency (%) |
| Thermal power stations and other combustion installations | 18780 | |
| Landfills (excluding landfills of inert waste and landfills, which were definitely closed before 16.7.2001 or for which the after-care phase required by the competent authorities according to Article 13 of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste has expired) | 9028 | |
| Installations for the incineration of non-hazardous waste in the scope of Directive 2000/76/EC of the European Parliament and of the Council of 4 December 2000 on the incineration of waste | 3039 | 5.3% |
| Installations for the production of cement clinker in rotary kilns | 2907 | 5.1% |
| Installations for the manufacture of glass, including glass fibre | 2367 | 4.1% |
| Mineral oil and gas refineries | 2110 | 3.7% |
| Industrial plants for the production of paper and board and other primary wood products (such as chipboard, fibreboard and plywood) | 2072 | 3.6% |
| Installations for the production of cement clinker in rotary kilns, lime in rotary kilns, cement or lime in other furnaces. Note to reporters, use Level 3 activity e.g. 3(c)(i), in preference to 3(c). Level 2 activity class (i.e. 3(c)) only to be used where Level 3 is not available. | 1326 | 2.3% |
| Installations for the production of pig iron or steel (primary or secondary melting) including continuous casting | 1268 | 2.2% |
| Industrial plants for the production of pulp from timber or similar fibrous materials | 1221 | 2.1% |
| Other values (60) | 12970 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| of | 76569 | 7.2% |
| the | 64168 | 6.0% |
| and | 43161 | 4.1% |
| installations | 39128 | 3.7% |
| for | 35687 | 3.4% |
| landfills | 27084 | 2.5% |
| waste | 25579 | 2.4% |
| other | 23015 | 2.2% |
| or | 20368 | 1.9% |
| to | 19339 | 1.8% |
| Other values (347) | 690443 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7184 |
|---|---|
| Distinct (%) | 12.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| NL.RIVM/000000062.FACILITY | 35 |
|---|---|
| ES.CAED/003486000.FACILITY | 34 |
| AT.CAED/9008391228615.FACILITY | 33 |
| SE.CAED/10019434.Facility | 32 |
| UK.SEPA/200000018.Facility | 30 |
| Other values (7179) |
Length
| Max length | 96 |
|---|---|
| Median length | 26 |
| Mean length | 33.11214266 |
| Min length | 17 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1167 ? |
|---|---|
| Unique (%) | 2.0% |
Sample
| 1st row | https://registry.gdi-de.org/id/de.ni.mu/06221720040 |
|---|---|
| 2nd row | FR.EEA/4679.FACILITY |
| 3rd row | LT.CAED/153009143.FACILITY |
| 4th row | IT.CAED/810252002.FACILITY |
| 5th row | RO.CAED/108BV0001.FACILITY |
Common Values
| Value | Count | Frequency (%) |
| NL.RIVM/000000062.FACILITY | 35 | 0.1% |
| ES.CAED/003486000.FACILITY | 34 | 0.1% |
| AT.CAED/9008391228615.FACILITY | 33 | 0.1% |
| SE.CAED/10019434.Facility | 32 | 0.1% |
| UK.SEPA/200000018.Facility | 30 | 0.1% |
| EL.CAED/100037.FACILITY | 30 | 0.1% |
| https://data.ied_registry.omgeving.vlaanderen.be/id/productionfacility//BE.VL.000000605.FACILITY | 30 | 0.1% |
| UK.CAED/BEISOffsh-Foinaven-FPSO.FACILITY | 30 | 0.1% |
| FR.CAED/11416.FACILITY | 30 | 0.1% |
| FR.CAED/11428.FACILITY | 29 | 0.1% |
| Other values (7174) | 56775 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| nl.rivm/000000062.facility | 35 | 0.1% |
| es.caed/003486000.facility | 34 | 0.1% |
| at.caed/9008391228615.facility | 33 | 0.1% |
| se.caed/10019434.facility | 32 | 0.1% |
| https://data.ied_registry.omgeving.vlaanderen.be/id/productionfacility//be.vl.000000605.facility | 30 | 0.1% |
| uk.caed/beisoffsh-foinaven-fpso.facility | 30 | 0.1% |
| fr.caed/11416.facility | 30 | 0.1% |
| el.caed/100037.facility | 30 | 0.1% |
| uk.sepa/200000018.facility | 30 | 0.1% |
| fr.caed/11428.facility | 29 | 0.1% |
| Other values (7149) | 56775 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7929 |
|---|---|
| Distinct (%) | 13.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| Enel Produzione S.p.A. | 204 |
|---|---|
| SNAM Rete Gas | 108 |
| Trans Austria Gasleitung GmbH | 99 |
| A2A gencogas S.p.A. | 97 |
| Versalis S.p.A. | 89 |
| Other values (7924) |
Length
| Max length | 152 |
|---|---|
| Median length | 27 |
| Mean length | 30.41402747 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1712 ? |
|---|---|
| Unique (%) | 3.0% |
Sample
| 1st row | Holcim (Deutschland) GmbH Werk Höver |
|---|---|
| 2nd row | HOLCIM (France) S.A.S - Usine de Dannes |
| 3rd row | AB "Akmenės cementas" |
| 4th row | CEMENTIR ITALIA S.p.A. |
| 5th row | SC CRH CIMENT (ROMANIA) SA. |
Common Values
| Value | Count | Frequency (%) |
| Enel Produzione S.p.A. | 204 | 0.4% |
| SNAM Rete Gas | 108 | 0.2% |
| Trans Austria Gasleitung GmbH | 99 | 0.2% |
| A2A gencogas S.p.A. | 97 | 0.2% |
| Versalis S.p.A. | 89 | 0.2% |
| WIEN ENERGIE GmbH | 75 | 0.1% |
| Edison S.p.A. | 71 | 0.1% |
| Enipower S.p.A. | 65 | 0.1% |
| Eni S.p.A. | 59 | 0.1% |
| FERROPEM | 58 | 0.1% |
| Other values (7919) | 56163 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 8718 | 3.5% | |
| de | 8358 | 3.4% |
| gmbh | 4678 | 1.9% |
| s.a | 3222 | 1.3% |
| di | 2606 | 1.1% |
| landfill | 2438 | 1.0% |
| power | 2194 | 0.9% |
| sa | 1785 | 0.7% |
| site | 1774 | 0.7% |
| s.p.a | 1709 | 0.7% |
| Other values (11130) | 208884 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5135 |
|---|---|
| Distinct (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| -- | 1713 |
|---|---|
| Antwerpen | 279 |
| Duisburg | 235 |
| Cork | 200 |
| Botlek Rotterdam | 194 |
| Other values (5130) |
Length
| Max length | 47 |
|---|---|
| Median length | 8 |
| Mean length | 9.370042741 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 806 ? |
|---|---|
| Unique (%) | 1.4% |
Sample
| 1st row | Sehnde |
|---|---|
| 2nd row | DANNES |
| 3rd row | Naujoji Akmenė |
| 4th row | MADDALONI |
| 5th row | Hoghiz |
Common Values
| Value | Count | Frequency (%) |
| -- | 1713 | 3.0% |
| Antwerpen | 279 | 0.5% |
| Duisburg | 235 | 0.4% |
| Cork | 200 | 0.4% |
| Botlek Rotterdam | 194 | 0.3% |
| FOS-SUR-MER | 145 | 0.3% |
| Gent | 140 | 0.2% |
| Bremen | 127 | 0.2% |
| Hamburg | 127 | 0.2% |
| Berlin | 125 | 0.2% |
| Other values (5125) | 53803 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1737 | 2.4% | |
| de | 1422 | 2.0% |
| la | 751 | 1.0% |
| rotterdam | 453 | 0.6% |
| san | 406 | 0.6% |
| st | 312 | 0.4% |
| antwerpen | 280 | 0.4% |
| del | 262 | 0.4% |
| duisburg | 235 | 0.3% |
| am | 207 | 0.3% |
| Other values (5512) | 65713 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| AIR |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | AIR |
|---|---|
| 2nd row | AIR |
| 3rd row | AIR |
| 4th row | AIR |
| 5th row | AIR |
Common Values
| Value | Count | Frequency (%) |
| AIR | 57088 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| air | 57088 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| Nitrogen oxides (NOX) | |
|---|---|
| Carbon dioxide (CO2) | |
| Methane (CH4) |
Length
| Max length | 21 |
|---|---|
| Median length | 20 |
| Mean length | 18.62414168 |
| Min length | 13 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Carbon dioxide (CO2) |
|---|---|
| 2nd row | Nitrogen oxides (NOX) |
| 3rd row | Carbon dioxide (CO2) |
| 4th row | Carbon dioxide (CO2) |
| 5th row | Nitrogen oxides (NOX) |
Common Values
| Value | Count | Frequency (%) |
| Nitrogen oxides (NOX) | 22619 | |
| Carbon dioxide (CO2) | 20017 | |
| Methane (CH4) | 14452 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| nox | 22619 | |
| oxides | 22619 | |
| nitrogen | 22619 | |
| co2 | 20017 | |
| dioxide | 20017 | |
| carbon | 20017 | |
| ch4 | 14452 | |
| methane | 14452 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
reportingYear
Real number (ℝ≥0)
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2012.931457 |
| Minimum | 2007 |
|---|---|
| Maximum | 2020 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 2007 |
|---|---|
| 5-th percentile | 2007 |
| Q1 | 2010 |
| median | 2013 |
| Q3 | 2016 |
| 95-th percentile | 2019 |
| Maximum | 2020 |
| Range | 13 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.855553092 |
|---|---|
| Coefficient of variation (CV) | 0.001915392141 |
| Kurtosis | -1.139770629 |
| Mean | 2012.931457 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.1238603607 |
| Sum | 114914231 |
| Variance | 14.86528965 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 2008 | 4638 | 8.1% |
| 2010 | 4631 | 8.1% |
| 2007 | 4608 | 8.1% |
| 2009 | 4605 | 8.1% |
| 2011 | 4466 | 7.8% |
| 2012 | 4406 | 7.7% |
| 2013 | 4386 | 7.7% |
| 2014 | 4261 | 7.5% |
| 2015 | 4129 | 7.2% |
| 2016 | 4084 | 7.2% |
| Other values (4) | 12874 |
| Value | Count | Frequency (%) |
| 2007 | 4608 | |
| 2008 | 4638 | |
| 2009 | 4605 | |
| 2010 | 4631 | |
| 2011 | 4466 | |
| 2012 | 4406 | |
| 2013 | 4386 | |
| 2014 | 4261 | |
| 2015 | 4129 | |
| 2016 | 4084 |
| Value | Count | Frequency (%) |
| 2020 | 2096 | |
| 2019 | 3271 | |
| 2018 | 3479 | |
| 2017 | 4028 | |
| 2016 | 4084 | |
| 2015 | 4129 | |
| 2014 | 4261 | |
| 2013 | 4386 | |
| 2012 | 4406 | |
| 2011 | 4466 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.495182876 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 7 |
| Q3 | 9 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.444834059 |
|---|---|
| Coefficient of variation (CV) | 0.5303675239 |
| Kurtosis | -1.213782271 |
| Mean | 6.495182876 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.001242601267 |
| Sum | 370797 |
| Variance | 11.86688169 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 8 | 4845 | |
| 4 | 4839 | |
| 9 | 4828 | |
| 7 | 4797 | |
| 10 | 4782 | |
| 2 | 4771 | |
| 3 | 4767 | |
| 1 | 4728 | |
| 6 | 4722 | |
| 12 | 4710 | |
| Other values (2) | 9299 |
| Value | Count | Frequency (%) |
| 1 | 4728 | |
| 2 | 4771 | |
| 3 | 4767 | |
| 4 | 4839 | |
| 5 | 4647 | |
| 6 | 4722 | |
| 7 | 4797 | |
| 8 | 4845 | |
| 9 | 4828 | |
| 10 | 4782 |
| Value | Count | Frequency (%) |
| 12 | 4710 | |
| 11 | 4652 | |
| 10 | 4782 | |
| 9 | 4828 | |
| 8 | 4845 | |
| 7 | 4797 | |
| 6 | 4722 | |
| 5 | 4647 | |
| 4 | 4839 | |
| 3 | 4767 |
DAY
Real number (ℝ≥0)
| Distinct | 28 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.50134879 |
| Minimum | 1 |
|---|---|
| Maximum | 28 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 14 |
| Q3 | 22 |
| 95-th percentile | 27 |
| Maximum | 28 |
| Range | 27 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 8.087665719 |
|---|---|
| Coefficient of variation (CV) | 0.5577181705 |
| Kurtosis | -1.20571931 |
| Mean | 14.50134879 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | -0.002614671055 |
| Sum | 827853 |
| Variance | 65.41033679 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 13 | 2134 | 3.7% |
| 23 | 2122 | 3.7% |
| 11 | 2113 | 3.7% |
| 25 | 2112 | 3.7% |
| 22 | 2111 | 3.7% |
| 1 | 2101 | 3.7% |
| 9 | 2088 | 3.7% |
| 2 | 2077 | 3.6% |
| 8 | 2073 | 3.6% |
| 20 | 2055 | 3.6% |
| Other values (18) | 36102 |
| Value | Count | Frequency (%) |
| 1 | 2101 | |
| 2 | 2077 | |
| 3 | 2024 | |
| 4 | 1999 | |
| 5 | 1968 | |
| 6 | 2036 | |
| 7 | 1975 | |
| 8 | 2073 | |
| 9 | 2088 | |
| 10 | 2033 |
| Value | Count | Frequency (%) |
| 28 | 2022 | |
| 27 | 2021 | |
| 26 | 2003 | |
| 25 | 2112 | |
| 24 | 2050 | |
| 23 | 2122 | |
| 22 | 2111 | |
| 21 | 1997 | |
| 20 | 2055 | |
| 19 | 1950 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| EUROPE |
|---|
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | EUROPE |
|---|---|
| 2nd row | EUROPE |
| 3rd row | EUROPE |
| 4th row | EUROPE |
| 5th row | EUROPE |
Common Values
| Value | Count | Frequency (%) |
| EUROPE | 57088 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| europe | 57088 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 57059 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.51871231 |
| Minimum | 8.011957526 |
|---|---|
| Maximum | 22.99138212 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 8.011957526 |
|---|---|
| 5-th percentile | 10.36180949 |
| Q1 | 13.3254658 |
| median | 15.50697643 |
| Q3 | 17.72034366 |
| 95-th percentile | 20.66908412 |
| Maximum | 22.99138212 |
| Range | 14.97942459 |
| Interquartile range (IQR) | 4.394877861 |
Descriptive statistics
| Standard deviation | 3.068112171 |
|---|---|
| Coefficient of variation (CV) | 0.1977040433 |
| Kurtosis | -0.5889840794 |
| Mean | 15.51871231 |
| Median Absolute Deviation (MAD) | 2.198957946 |
| Skewness | -0.005163234779 |
| Sum | 885932.2485 |
| Variance | 9.413312291 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 18.98158515 | 2 | < 0.1% |
| 15.74833663 | 2 | < 0.1% |
| 19.20185113 | 2 | < 0.1% |
| 17.17474097 | 2 | < 0.1% |
| 12.37385409 | 2 | < 0.1% |
| 15.10255408 | 2 | < 0.1% |
| 12.73152434 | 2 | < 0.1% |
| 14.15245383 | 2 | < 0.1% |
| 13.5958423 | 2 | < 0.1% |
| 19.35235799 | 2 | < 0.1% |
| Other values (57049) | 57068 |
| Value | Count | Frequency (%) |
| 8.011957526 | 1 | |
| 8.06077402 | 1 | |
| 8.062689172 | 1 | |
| 8.080201144 | 1 | |
| 8.095657704 | 1 | |
| 8.096044778 | 1 | |
| 8.105868134 | 1 | |
| 8.107999203 | 1 | |
| 8.137407304 | 1 | |
| 8.146132255 | 1 |
| Value | Count | Frequency (%) |
| 22.99138212 | 1 | |
| 22.94767146 | 1 | |
| 22.94683865 | 1 | |
| 22.94551394 | 1 | |
| 22.94104232 | 1 | |
| 22.94000705 | 1 | |
| 22.93081599 | 1 | |
| 22.9095764 | 1 | |
| 22.90148581 | 1 | |
| 22.8969487 | 1 |
| Distinct | 57063 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.01467035 |
| Minimum | 14.00010009 |
|---|---|
| Maximum | 21.99997338 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 14.00010009 |
|---|---|
| 5-th percentile | 14.39840244 |
| Q1 | 16.01304102 |
| median | 18.0169155 |
| Q3 | 20.01130031 |
| 95-th percentile | 21.61810833 |
| Maximum | 21.99997338 |
| Range | 7.999873293 |
| Interquartile range (IQR) | 3.99825929 |
Descriptive statistics
| Standard deviation | 2.31176118 |
|---|---|
| Coefficient of variation (CV) | 0.128326588 |
| Kurtosis | -1.196518668 |
| Mean | 18.01467035 |
| Median Absolute Deviation (MAD) | 1.9988536 |
| Skewness | -0.003505807287 |
| Sum | 1028421.501 |
| Variance | 5.344239752 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20.84940602 | 2 | < 0.1% |
| 20.59483772 | 2 | < 0.1% |
| 19.33229612 | 2 | < 0.1% |
| 21.12140618 | 2 | < 0.1% |
| 21.29331442 | 2 | < 0.1% |
| 17.84649643 | 2 | < 0.1% |
| 18.90384735 | 2 | < 0.1% |
| 19.07418029 | 2 | < 0.1% |
| 19.63153846 | 2 | < 0.1% |
| 19.08746528 | 2 | < 0.1% |
| Other values (57053) | 57068 |
| Value | Count | Frequency (%) |
| 14.00010009 | 1 | |
| 14.00028742 | 1 | |
| 14.00037559 | 1 | |
| 14.00038713 | 1 | |
| 14.00039859 | 1 | |
| 14.00040384 | 1 | |
| 14.00040427 | 1 | |
| 14.00047328 | 1 | |
| 14.00063342 | 1 | |
| 14.00072678 | 1 |
| Value | Count | Frequency (%) |
| 21.99997338 | 1 | |
| 21.99991947 | 1 | |
| 21.99989079 | 1 | |
| 21.99987469 | 1 | |
| 21.99956973 | 1 | |
| 21.99945553 | 1 | |
| 21.99933135 | 1 | |
| 21.99925629 | 1 | |
| 21.99879 | 1 | |
| 21.99874293 | 1 |
| Distinct | 57063 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.51937642 |
| Minimum | 15.03258912 |
|---|---|
| Maximum | 29.93360301 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 15.03258912 |
|---|---|
| 5-th percentile | 17.37047692 |
| Q1 | 20.33513287 |
| median | 22.53624822 |
| Q3 | 24.71464892 |
| 95-th percentile | 27.60255311 |
| Maximum | 29.93360301 |
| Range | 14.90101389 |
| Interquartile range (IQR) | 4.379516043 |
Descriptive statistics
| Standard deviation | 3.060383387 |
|---|---|
| Coefficient of variation (CV) | 0.1359000058 |
| Kurtosis | -0.5934916153 |
| Mean | 22.51937642 |
| Median Absolute Deviation (MAD) | 2.188979446 |
| Skewness | -0.01786328298 |
| Sum | 1285586.161 |
| Variance | 9.365946477 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 21.11388249 | 2 | < 0.1% |
| 23.6573775 | 2 | < 0.1% |
| 22.72459661 | 2 | < 0.1% |
| 28.88163543 | 2 | < 0.1% |
| 28.38028589 | 2 | < 0.1% |
| 27.10892129 | 2 | < 0.1% |
| 21.0451686 | 2 | < 0.1% |
| 26.91444134 | 2 | < 0.1% |
| 24.41036625 | 2 | < 0.1% |
| 17.87677742 | 2 | < 0.1% |
| Other values (57053) | 57068 |
| Value | Count | Frequency (%) |
| 15.03258912 | 1 | |
| 15.04535762 | 1 | |
| 15.05313144 | 1 | |
| 15.05564738 | 1 | |
| 15.0595347 | 1 | |
| 15.06856854 | 1 | |
| 15.08021939 | 1 | |
| 15.10168216 | 1 | |
| 15.11690061 | 1 | |
| 15.11841179 | 1 |
| Value | Count | Frequency (%) |
| 29.93360301 | 1 | |
| 29.92556692 | 1 | |
| 29.91436677 | 1 | |
| 29.90658594 | 1 | |
| 29.90434173 | 1 | |
| 29.89835866 | 1 | |
| 29.8958781 | 1 | |
| 29.88896106 | 1 | |
| 29.87586267 | 1 | |
| 29.86964849 | 1 |
| Distinct | 57058 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.457074188 |
| Minimum | -3.141463865 |
|---|---|
| Maximum | 20.93826591 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 2388 |
| Negative (%) | 4.2% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | -3.141463865 |
|---|---|
| 5-th percentile | 0.3108750329 |
| Q1 | 5.891963107 |
| median | 9.689104532 |
| Q3 | 13.27769263 |
| 95-th percentile | 17.72783091 |
| Maximum | 20.93826591 |
| Range | 24.07972977 |
| Interquartile range (IQR) | 7.385729525 |
Descriptive statistics
| Standard deviation | 5.211227426 |
|---|---|
| Coefficient of variation (CV) | 0.5510401338 |
| Kurtosis | -0.6672614422 |
| Mean | 9.457074188 |
| Median Absolute Deviation (MAD) | 3.68127557 |
| Skewness | -0.1683652136 |
| Sum | 539885.4513 |
| Variance | 27.15689129 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6.502811137 | 2 | < 0.1% |
| 9.124710128 | 2 | < 0.1% |
| 10.05583995 | 2 | < 0.1% |
| 17.39473167 | 2 | < 0.1% |
| 9.159208043 | 2 | < 0.1% |
| 2.67963791 | 2 | < 0.1% |
| 3.342199641 | 2 | < 0.1% |
| 12.40074494 | 2 | < 0.1% |
| 7.226632766 | 2 | < 0.1% |
| 10.79905355 | 2 | < 0.1% |
| Other values (57048) | 57068 |
| Value | Count | Frequency (%) |
| -3.141463865 | 1 | |
| -3.075562621 | 1 | |
| -3.071525209 | 1 | |
| -3.041452495 | 1 | |
| -3.033178012 | 1 | |
| -2.957447236 | 1 | |
| -2.947022823 | 1 | |
| -2.93982001 | 1 | |
| -2.939164723 | 1 | |
| -2.92891221 | 1 |
| Value | Count | Frequency (%) |
| 20.93826591 | 1 | |
| 20.92611588 | 1 | |
| 20.85588499 | 1 | |
| 20.85557011 | 1 | |
| 20.84754357 | 1 | |
| 20.84356455 | 1 | |
| 20.84062925 | 1 | |
| 20.83720876 | 1 | |
| 20.8243353 | 1 | |
| 20.81953963 | 1 |
| Distinct | 57059 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.4516403 |
| Minimum | -0.1991759675 |
|---|---|
| Maximum | 19.99940286 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 346 |
| Negative (%) | 0.6% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | -0.1991759675 |
|---|---|
| 5-th percentile | 1.325644151 |
| Q1 | 7.191469317 |
| median | 10.69063333 |
| Q3 | 14.19475221 |
| 95-th percentile | 18.6832901 |
| Maximum | 19.99940286 |
| Range | 20.19857883 |
| Interquartile range (IQR) | 7.003282891 |
Descriptive statistics
| Standard deviation | 5.079899246 |
|---|---|
| Coefficient of variation (CV) | 0.4860384685 |
| Kurtosis | -0.7260446631 |
| Mean | 10.4516403 |
| Median Absolute Deviation (MAD) | 3.50111851 |
| Skewness | -0.1851573852 |
| Sum | 596663.2416 |
| Variance | 25.80537635 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.6596018344 | 2 | < 0.1% |
| 14.2667923 | 2 | < 0.1% |
| 11.2931461 | 2 | < 0.1% |
| 11.08473047 | 2 | < 0.1% |
| 10.46680418 | 2 | < 0.1% |
| 13.06906075 | 2 | < 0.1% |
| 8.910920114 | 2 | < 0.1% |
| 5.631403524 | 2 | < 0.1% |
| 19.14748258 | 2 | < 0.1% |
| 7.329007397 | 2 | < 0.1% |
| Other values (57049) | 57068 |
| Value | Count | Frequency (%) |
| -0.1991759675 | 1 | |
| -0.1986566594 | 1 | |
| -0.198573916 | 1 | |
| -0.1979472568 | 1 | |
| -0.1956317355 | 1 | |
| -0.1950297157 | 1 | |
| -0.1943625907 | 1 | |
| -0.1943099303 | 1 | |
| -0.193819056 | 1 | |
| -0.193703916 | 1 |
| Value | Count | Frequency (%) |
| 19.99940286 | 1 | |
| 19.99934257 | 1 | |
| 19.99871025 | 1 | |
| 19.99864512 | 1 | |
| 19.99858787 | 1 | |
| 19.99852063 | 1 | |
| 19.99847884 | 1 | |
| 19.99833936 | 1 | |
| 19.99767701 | 1 | |
| 19.99762672 | 1 |
| Distinct | 57062 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.44788779 |
| Minimum | 0.8948269078 |
|---|---|
| Maximum | 24.902108 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 0.8948269078 |
|---|---|
| 5-th percentile | 4.251666344 |
| Q1 | 9.90879549 |
| median | 13.68118658 |
| Q3 | 17.2723975 |
| 95-th percentile | 21.74360624 |
| Maximum | 24.902108 |
| Range | 24.00728109 |
| Interquartile range (IQR) | 7.363602007 |
Descriptive statistics
| Standard deviation | 5.211141584 |
|---|---|
| Coefficient of variation (CV) | 0.3875063256 |
| Kurtosis | -0.6549770834 |
| Mean | 13.44788779 |
| Median Absolute Deviation (MAD) | 3.672338715 |
| Skewness | -0.1680304555 |
| Sum | 767713.0182 |
| Variance | 27.15599661 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.857030546 | 2 | < 0.1% |
| 22.25932042 | 2 | < 0.1% |
| 20.11750238 | 2 | < 0.1% |
| 10.31972843 | 2 | < 0.1% |
| 9.785855128 | 2 | < 0.1% |
| 24.14255754 | 2 | < 0.1% |
| 13.13771321 | 2 | < 0.1% |
| 11.9024422 | 2 | < 0.1% |
| 19.56756672 | 2 | < 0.1% |
| 11.81970087 | 2 | < 0.1% |
| Other values (57052) | 57068 |
| Value | Count | Frequency (%) |
| 0.8948269078 | 1 | |
| 0.8959521782 | 1 | |
| 0.9507770814 | 1 | |
| 0.9952731205 | 1 | |
| 0.9999267043 | 1 | |
| 1.003606393 | 1 | |
| 1.009808228 | 1 | |
| 1.011517201 | 1 | |
| 1.021968087 | 1 | |
| 1.033683523 | 1 |
| Value | Count | Frequency (%) |
| 24.902108 | 1 | |
| 24.88484211 | 1 | |
| 24.85542506 | 1 | |
| 24.84893262 | 1 | |
| 24.8406712 | 1 | |
| 24.82579329 | 1 | |
| 24.82537293 | 1 | |
| 24.82061335 | 1 | |
| 24.81779182 | 1 | |
| 24.81278873 | 1 |
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.23360426 |
| Minimum | 0 |
|---|---|
| Maximum | 19 |
| Zeros | 16355 |
| Zeros (%) | 28.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 12 |
| Maximum | 19 |
| Range | 19 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 3.777178511 |
|---|---|
| Coefficient of variation (CV) | 1.691068816 |
| Kurtosis | 7.910063552 |
| Mean | 2.23360426 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.903021266 |
| Sum | 127512 |
| Variance | 14.26707751 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 1 | 16967 | |
| 2 | 16734 | |
| 0 | 16355 | |
| 11 | 456 | 0.8% |
| 5 | 447 | 0.8% |
| 15 | 433 | 0.8% |
| 3 | 433 | 0.8% |
| 18 | 433 | 0.8% |
| 4 | 427 | 0.7% |
| 12 | 425 | 0.7% |
| Other values (10) | 3978 | 7.0% |
| Value | Count | Frequency (%) |
| 0 | 16355 | |
| 1 | 16967 | |
| 2 | 16734 | |
| 3 | 433 | 0.8% |
| 4 | 427 | 0.7% |
| 5 | 447 | 0.8% |
| 6 | 383 | 0.7% |
| 7 | 382 | 0.7% |
| 8 | 414 | 0.7% |
| 9 | 414 | 0.7% |
| Value | Count | Frequency (%) |
| 19 | 413 | |
| 18 | 433 | |
| 17 | 391 | |
| 16 | 408 | |
| 15 | 433 | |
| 14 | 409 | |
| 13 | 344 | |
| 12 | 425 | |
| 11 | 456 | |
| 10 | 420 |
| Distinct | 45014 |
|---|---|
| Distinct (%) | 78.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| James Smith | 23 |
|---|---|
| Michael Smith | 23 |
| Michael Brown | 21 |
| Christopher Smith | 18 |
| David Smith | 18 |
| Other values (45009) |
Length
| Max length | 28 |
|---|---|
| Median length | 13 |
| Mean length | 13.27590737 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 37898 ? |
|---|---|
| Unique (%) | 66.4% |
Sample
| 1st row | Mr. Jacob Ortega |
|---|---|
| 2nd row | Andrew Tran |
| 3rd row | Michael Mendoza |
| 4th row | Jacqueline Ramirez |
| 5th row | Gerald Ponce |
Common Values
| Value | Count | Frequency (%) |
| James Smith | 23 | < 0.1% |
| Michael Smith | 23 | < 0.1% |
| Michael Brown | 21 | < 0.1% |
| Christopher Smith | 18 | < 0.1% |
| David Smith | 18 | < 0.1% |
| Jennifer Smith | 18 | < 0.1% |
| Jennifer Johnson | 18 | < 0.1% |
| Jessica Smith | 17 | < 0.1% |
| Robert Jones | 17 | < 0.1% |
| Michael Johnson | 17 | < 0.1% |
| Other values (45004) | 56898 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| michael | 1302 | 1.1% |
| smith | 1189 | 1.0% |
| johnson | 996 | 0.9% |
| james | 952 | 0.8% |
| david | 853 | 0.7% |
| christopher | 832 | 0.7% |
| john | 831 | 0.7% |
| jennifer | 797 | 0.7% |
| williams | 792 | 0.7% |
| robert | 789 | 0.7% |
| Other values (1588) | 107434 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5135 |
|---|---|
| Distinct (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| cfab1ba8c67c7c838db98d666f02a132 | 1713 |
|---|---|
| aed13ea855ff8b71cd5ceb869fe744c1 | 279 |
| f53da95e5700ca1e7d12b7a833d62663 | 235 |
| 002c887b8369e59e6f58a5d06a8d0817 | 200 |
| 0759b751086c80f98aa59e11e6a115b4 | 194 |
| Other values (5130) |
Length
| Max length | 32 |
|---|---|
| Median length | 32 |
| Mean length | 32 |
| Min length | 32 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 806 ? |
|---|---|
| Unique (%) | 1.4% |
Sample
| 1st row | 7cdb5e74adcb2ffaa21c1b61395a984f |
|---|---|
| 2nd row | 63f9745320f57c7a1f2c1e6e18cedc6d |
| 3rd row | c3e198d3cce7e1a8c55db94e11b6ee8b |
| 4th row | 74d9cf54417f8c7cbde9b8dcc2b70671 |
| 5th row | dcfb06f6c717e109e530d64f2d09f559 |
Common Values
| Value | Count | Frequency (%) |
| cfab1ba8c67c7c838db98d666f02a132 | 1713 | 3.0% |
| aed13ea855ff8b71cd5ceb869fe744c1 | 279 | 0.5% |
| f53da95e5700ca1e7d12b7a833d62663 | 235 | 0.4% |
| 002c887b8369e59e6f58a5d06a8d0817 | 200 | 0.4% |
| 0759b751086c80f98aa59e11e6a115b4 | 194 | 0.3% |
| 8dc3d6c792dfa6e7eb4c59921e6c635a | 145 | 0.3% |
| bc1f8a8dc753022dcebc810482590fdd | 140 | 0.2% |
| 35d7df6ed3d93be2927d14acc5f1fc9a | 127 | 0.2% |
| 92c1f80a07ad537ddb7e00137d6a25f9 | 127 | 0.2% |
| ee1611b61f5688e70c12b40684dbb395 | 125 | 0.2% |
| Other values (5125) | 53803 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| cfab1ba8c67c7c838db98d666f02a132 | 1713 | 3.0% |
| aed13ea855ff8b71cd5ceb869fe744c1 | 279 | 0.5% |
| f53da95e5700ca1e7d12b7a833d62663 | 235 | 0.4% |
| 002c887b8369e59e6f58a5d06a8d0817 | 200 | 0.4% |
| 0759b751086c80f98aa59e11e6a115b4 | 194 | 0.3% |
| 8dc3d6c792dfa6e7eb4c59921e6c635a | 145 | 0.3% |
| bc1f8a8dc753022dcebc810482590fdd | 140 | 0.2% |
| 35d7df6ed3d93be2927d14acc5f1fc9a | 127 | 0.2% |
| 92c1f80a07ad537ddb7e00137d6a25f9 | 127 | 0.2% |
| ee1611b61f5688e70c12b40684dbb395 | 125 | 0.2% |
| Other values (5125) | 53803 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.174940443 |
| Minimum | 1 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 9 |
| Range | 8 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.051621838 |
|---|---|
| Coefficient of variation (CV) | 0.646192228 |
| Kurtosis | -0.9324922212 |
| Mean | 3.174940443 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.4184316815 |
| Sum | 181251 |
| Variance | 4.209152168 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 1 | 21386 | |
| 5 | 13813 | |
| 3 | 8922 | |
| 4 | 3744 | 6.6% |
| 6 | 3299 | 5.8% |
| 2 | 2748 | 4.8% |
| 7 | 1848 | 3.2% |
| 8 | 1120 | 2.0% |
| 9 | 208 | 0.4% |
| Value | Count | Frequency (%) |
| 1 | 21386 | |
| 2 | 2748 | 4.8% |
| 3 | 8922 | |
| 4 | 3744 | 6.6% |
| 5 | 13813 | |
| 6 | 3299 | 5.8% |
| 7 | 1848 | 3.2% |
| 8 | 1120 | 2.0% |
| 9 | 208 | 0.4% |
| Value | Count | Frequency (%) |
| 9 | 208 | 0.4% |
| 8 | 1120 | 2.0% |
| 7 | 1848 | 3.2% |
| 6 | 3299 | 5.8% |
| 5 | 13813 | |
| 4 | 3744 | 6.6% |
| 3 | 8922 | |
| 2 | 2748 | 4.8% |
| 1 | 21386 |
| Distinct | 70 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| 1(c) | |
|---|---|
| 5(d) | |
| 5(b) | |
| 3(c)(i) | |
| 3(e) | |
| Other values (65) |
Length
| Max length | 10 |
|---|---|
| Median length | 4 |
| Mean length | 4.552007427 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3(c)(i) |
|---|---|
| 2nd row | 3(c)(i) |
| 3rd row | 3(c)(i) |
| 4th row | 3(c)(i) |
| 5th row | 3(c)(i) |
Common Values
| Value | Count | Frequency (%) |
| 1(c) | 18780 | |
| 5(d) | 9028 | |
| 5(b) | 3039 | 5.3% |
| 3(c)(i) | 2907 | 5.1% |
| 3(e) | 2367 | 4.1% |
| 1(a) | 2110 | 3.7% |
| 6(b) | 2072 | 3.6% |
| 3(c) | 1326 | 2.3% |
| 2(b) | 1268 | 2.2% |
| 6(a) | 1221 | 2.1% |
| Other values (60) | 12970 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1(c | 18780 | |
| 5(d | 9028 | |
| 5(b | 3039 | 5.3% |
| 3(c)(i | 2907 | 5.1% |
| 3(e | 2367 | 4.1% |
| 1(a | 2110 | 3.7% |
| 6(b | 2072 | 3.6% |
| 3(c | 1326 | 2.3% |
| 2(b | 1268 | 2.2% |
| 6(a | 1221 | 2.1% |
| Other values (60) | 12970 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 28501 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 28587 |
| Missing (%) | 50.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40836.98646 |
| Minimum | 0 |
|---|---|
| Maximum | 81594 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 446.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4041 |
| Q1 | 20308 |
| median | 40768 |
| Q3 | 61272 |
| 95-th percentile | 77513 |
| Maximum | 81594 |
| Range | 81594 |
| Interquartile range (IQR) | 40964 |
Descriptive statistics
| Standard deviation | 23584.38694 |
|---|---|
| Coefficient of variation (CV) | 0.5775251552 |
| Kurtosis | -1.206297706 |
| Mean | 40836.98646 |
| Median Absolute Deviation (MAD) | 20481 |
| Skewness | -0.006153988305 |
| Sum | 1163894951 |
| Variance | 556223307.4 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8095 | 1 | < 0.1% |
| 65342 | 1 | < 0.1% |
| 58710 | 1 | < 0.1% |
| 18072 | 1 | < 0.1% |
| 6703 | 1 | < 0.1% |
| 39721 | 1 | < 0.1% |
| 33797 | 1 | < 0.1% |
| 76461 | 1 | < 0.1% |
| 11717 | 1 | < 0.1% |
| 57613 | 1 | < 0.1% |
| Other values (28491) | 28491 | |
| (Missing) | 28587 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 7 | 1 | |
| 15 | 1 | |
| 19 | 1 | |
| 20 | 1 | |
| 25 | 1 | |
| 26 | 1 | |
| 27 | 1 | |
| 28 | 1 |
| Value | Count | Frequency (%) |
| 81594 | 1 | |
| 81579 | 1 | |
| 81578 | 1 | |
| 81577 | 1 | |
| 81569 | 1 | |
| 81565 | 1 | |
| 81564 | 1 | |
| 81562 | 1 | |
| 81561 | 1 | |
| 81557 | 1 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 446.1 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 22619 | |
| 1 | 20017 | |
| 2 | 14452 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 22619 | |
| 1 | 20017 | |
| 2 | 14452 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| countryName | eprtrSectorName | EPRTRAnnexIMainActivityLabel | FacilityInspireID | facilityName | City | targetRelease | pollutant | reportingYear | MONTH | DAY | CONTINENT | max_wind_speed | avg_wind_speed | min_wind_speed | max_temp | avg_temp | min_temp | DAY WITH FOGS | REPORTER NAME | CITY ID | EPRTRSectorCode | EPRTRAnnexIMainActivityCode | Unnamed: 23 | Unnamed: 0 | pollutant_code | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Germany | Mineral industry | Installations for the production of cement clinker in rotary kilns | https://registry.gdi-de.org/id/de.ni.mu/06221720040 | Holcim (Deutschland) GmbH Werk Höver | Sehnde | AIR | Carbon dioxide (CO2) | 2015 | 10 | 20 | EUROPE | 15.118767 | 14.312541 | 21.419106 | 2.864895 | 4.924169 | 9.688206 | 2 | Mr. Jacob Ortega | 7cdb5e74adcb2ffaa21c1b61395a984f | 3 | 3(c)(i) | NaN | NaN | 1 |
| 1 | France | Mineral industry | Installations for the production of cement clinker in rotary kilns | FR.EEA/4679.FACILITY | HOLCIM (France) S.A.S - Usine de Dannes | DANNES | AIR | Nitrogen oxides (NOX) | 2009 | 2 | 8 | EUROPE | 22.182059 | 21.816051 | 25.869446 | 3.134049 | 6.000190 | 8.645209 | 0 | Andrew Tran | 63f9745320f57c7a1f2c1e6e18cedc6d | 3 | 3(c)(i) | NaN | NaN | 0 |
| 2 | Lithuania | Mineral industry | Installations for the production of cement clinker in rotary kilns | LT.CAED/153009143.FACILITY | AB "Akmenės cementas" | Naujoji Akmenė | AIR | Carbon dioxide (CO2) | 2013 | 3 | 9 | EUROPE | 13.807007 | 14.432455 | 17.637603 | 14.901553 | 17.019957 | 18.103046 | 1 | Michael Mendoza | c3e198d3cce7e1a8c55db94e11b6ee8b | 3 | 3(c)(i) | NaN | NaN | 1 |
| 3 | Italy | Mineral industry | Installations for the production of cement clinker in rotary kilns | IT.CAED/810252002.FACILITY | CEMENTIR ITALIA S.p.A. | MADDALONI | AIR | Carbon dioxide (CO2) | 2011 | 9 | 24 | EUROPE | 15.479113 | 16.135563 | 18.873857 | 14.655155 | 13.907409 | 15.012176 | 1 | Jacqueline Ramirez | 74d9cf54417f8c7cbde9b8dcc2b70671 | 3 | 3(c)(i) | NaN | NaN | 1 |
| 4 | Romania | Mineral industry | Installations for the production of cement clinker in rotary kilns | RO.CAED/108BV0001.FACILITY | SC CRH CIMENT (ROMANIA) SA. | Hoghiz | AIR | Nitrogen oxides (NOX) | 2016 | 1 | 21 | EUROPE | 11.237081 | 14.383269 | 22.070061 | 12.209626 | 13.304828 | 17.173233 | 1 | Gerald Ponce | dcfb06f6c717e109e530d64f2d09f559 | 3 | 3(c)(i) | NaN | NaN | 0 |
| 5 | Spain | Mineral industry | Installations for the production of cement clinker in rotary kilns | ES.CAED/002072000.FACILITY | FABRICA DE MATAPORQUERA (CEMENTOS ALFA) | MATAPORQUERA | AIR | Nitrogen oxides (NOX) | 2019 | 7 | 21 | EUROPE | 20.539079 | 19.639595 | 26.485369 | 16.054267 | 16.656006 | 19.342325 | 2 | Summer Potts | 60d05227eb203b63d7220797fa4ab466 | 3 | 3(c)(i) | NaN | NaN | 0 |
| 6 | Switzerland | Mineral industry | Installations for the production of cement clinker in rotary kilns | CH.CAED/000000178.Facility | Juracime SA | Cornaux | AIR | Nitrogen oxides (NOX) | 2013 | 2 | 14 | EUROPE | 18.761528 | 20.489772 | 24.316290 | 15.078819 | 14.849501 | 18.018477 | 1 | Manuel Fox | 258546a3be5e42182debfd2c8bfb3ada | 3 | 3(c)(i) | NaN | NaN | 0 |
| 7 | Bulgaria | Mineral industry | Installations for the production of cement clinker in rotary kilns | BG.EEA/15805.FACILITY | VULKAN | Dimitrovgrad | AIR | Nitrogen oxides (NOX) | 2007 | 10 | 27 | EUROPE | 14.973410 | 15.277239 | 22.909489 | 10.144153 | 9.353176 | 11.068628 | 0 | Lori Garcia | 7915da14382d06785bdd501ed7eea6e0 | 3 | 3(c)(i) | NaN | NaN | 0 |
| 8 | France | Mineral industry | Installations for the production of cement clinker in rotary kilns | FR.CAED/11830.FACILITY | CIMENTS CALCIA - SITE DE BUSSAC | BUSSAC-FORET | AIR | Nitrogen oxides (NOX) | 2014 | 1 | 19 | EUROPE | 12.420141 | 14.098176 | 17.429485 | 3.254087 | 3.115100 | 6.223805 | 1 | Travis Fisher | 6cc5a230870ae4fce13e2c4f53ad1133 | 3 | 3(c)(i) | NaN | NaN | 0 |
| 9 | France | Mineral industry | Installations for the production of cement clinker in rotary kilns | FR.CAED/11830.FACILITY | CIMENTS CALCIA - SITE DE BUSSAC | BUSSAC-FORET | AIR | Carbon dioxide (CO2) | 2010 | 10 | 24 | EUROPE | 19.279239 | 18.707987 | 25.675773 | 0.623444 | 0.145634 | 3.606452 | 1 | Angela Riley | 6cc5a230870ae4fce13e2c4f53ad1133 | 3 | 3(c)(i) | NaN | NaN | 1 |
Last rows
| countryName | eprtrSectorName | EPRTRAnnexIMainActivityLabel | FacilityInspireID | facilityName | City | targetRelease | pollutant | reportingYear | MONTH | DAY | CONTINENT | max_wind_speed | avg_wind_speed | min_wind_speed | max_temp | avg_temp | min_temp | DAY WITH FOGS | REPORTER NAME | CITY ID | EPRTRSectorCode | EPRTRAnnexIMainActivityCode | Unnamed: 23 | Unnamed: 0 | pollutant_code | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 57078 | France | Energy sector | Thermal power stations and other combustion installations | FR.CAED/12044.FACILITY | EDF PRODUCTION ELECTRIQUE INSULAIRE - ETABLISSEMENT DE HAUTE CORSE | LUCCIANA | AIR | Nitrogen oxides (NOX) | 2016 | 5 | 24 | EUROPE | 12.098650 | 17.018423 | 23.973918 | 17.980697 | 19.247893 | 22.781276 | 0 | Kimberly Taylor | 495a606d3f1402613349b0c95d35d931 | 1 | 1(c) | 18066.0 | NaN | 0 |
| 57079 | Italy | Waste and wastewater management | Landfills (excluding landfills of inert waste and landfills, which were definitely closed before 16.7.2001 or for which the after-care phase required by the competent authorities according to Article 13 of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste has expired) | IT.EEA/104.FACILITY | Discarica di Barengo (NO) | BARENGO | AIR | Methane (CH4) | 2017 | 2 | 26 | EUROPE | 18.431998 | 20.528478 | 26.140398 | 8.145384 | 8.357491 | 10.096647 | 0 | Colin Hammond | 7e0cee13d05d1d0ea4ca0973fcc1bf7d | 5 | 5(d) | 42629.0 | NaN | 2 |
| 57080 | France | Mineral industry | Installations for the manufacture of glass, including glass fibre | FR.CAED/10710.FACILITY | ARC FRANCE - SITE D'ARQUES | ARQUES | AIR | Carbon dioxide (CO2) | 2007 | 12 | 17 | EUROPE | 14.328479 | 19.974901 | 25.638929 | 2.744428 | 2.634764 | 5.252293 | 1 | Madison Jackson | 45f325609b3242ae51996742cacb606e | 3 | 3(e) | 11953.0 | NaN | 1 |
| 57081 | Italy | Waste and wastewater management | Landfills (excluding landfills of inert waste and landfills, which were definitely closed before 16.7.2001 or for which the after-care phase required by the competent authorities according to Article 13 of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste has expired) | IT.EEA/115315.FACILITY | MANDURIAMBIENTE S.p.A. | MANDURIA | AIR | Methane (CH4) | 2016 | 10 | 23 | EUROPE | 16.412310 | 17.421044 | 19.317722 | 11.321086 | 13.729427 | 16.232119 | 0 | Kimberly Scott | 3d508ddbc66ac3b45f01e5c7b191619e | 5 | 5(d) | 42042.0 | NaN | 2 |
| 57082 | Serbia | Chemical industry | Chemical installations for the production on an industrial scale of basic organic chemicals: Oxygen-containing hydrocarbons such as alcohols, aldehydes, ketones, carboxylic acids, esters, acetates, ethers, peroxides, epoxy resins | RS.SEPA.NRIZ/FACILITY.000000116 | MSK postrojenje | Kikinda | AIR | Nitrogen oxides (NOX) | 2019 | 8 | 11 | EUROPE | 15.719701 | 16.408202 | 22.311666 | 10.650435 | 11.022683 | 15.825824 | 2 | Francisco Wilson | ffdce8563b060038d08b880c452d042e | 4 | 4(a)(ii) | 56922.0 | NaN | 0 |
| 57083 | Cyprus | Energy sector | Thermal power stations and other combustion installations | CY.CAED/0030030000.FACILITY | Electricity Authority of Cyprus, Vassilikos Power Station | LARNAKA | AIR | Carbon dioxide (CO2) | 2008 | 1 | 1 | EUROPE | 13.475988 | 18.556476 | 22.852530 | 13.345801 | 12.410783 | 17.148327 | 0 | Tammy Faulkner | 2d4776365b33d5f1be53ea4606e2c79c | 1 | 1(c) | 5147.0 | NaN | 1 |
| 57084 | Finland | Energy sector | Thermal power stations and other combustion installations | http://paikkatiedot.fi/so/1002031/pf/ProductionFacility/0000001728.ProductionFacility | Turun Seudun Energiantuotanto Oy, Naantalin voimalaitos | Naantali | AIR | Nitrogen oxides (NOX) | 2008 | 12 | 19 | EUROPE | 8.815939 | 14.461703 | 20.553781 | 3.820281 | 3.763833 | 5.657107 | 0 | Dr. Courtney Bryant | 020b11bf06b96aae1dd910a56674a8aa | 1 | 1(c) | 9442.0 | NaN | 0 |
| 57085 | Slovenia | Waste and wastewater management | Landfills (excluding landfills of inert waste and landfills, which were definitely closed before 16.7.2001 or for which the after-care phase required by the competent authorities according to Article 13 of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste has expired) | SI.ARSO/000000037.FACILITY | Javne službe Ptuj, Odlagališče nenevarnih odpadkov Gajke | Ptuj | AIR | Methane (CH4) | 2010 | 8 | 10 | EUROPE | 14.793298 | 16.688049 | 20.411498 | 17.285365 | 18.349798 | 21.538441 | 2 | William Greer | 84afdc8367dfd9124e8b8f994e986fe9 | 5 | 5(d) | 57189.0 | NaN | 2 |
| 57086 | Italy | Mineral industry | Underground mining and related operations | IT.CAED/850592002.FACILITY | Centro Olio Val d'Agri | VIGGIANO | AIR | Nitrogen oxides (NOX) | 2014 | 1 | 25 | EUROPE | 14.911317 | 16.144091 | 22.647192 | 6.387199 | 6.176238 | 9.269076 | 0 | Leonard Roberts | 09ad69bcf41256f40be3314a33e0438c | 3 | 3(a) | 40953.0 | NaN | 0 |
| 57087 | United Kingdom | Energy sector | Thermal power stations and other combustion installations | GB.EEA/13394.FACILITY | SSE Generation Ltd, Weston Point Salt Works CHP Pant | Runcorn | AIR | Carbon dioxide (CO2) | 2008 | 7 | 23 | EUROPE | 21.761812 | 21.296949 | 29.248276 | 8.220678 | 11.194308 | 14.171780 | 13 | Mr. Benjamin Park | b5f44c55c14c881ea21499a32fc972d0 | 1 | 1(c) | 71260.0 | NaN | 1 |